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<h1>rihaczek
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<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>Rihaczek and Levin Distributions (direct implementation)</strong></div>

<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> Rihaczek and Levin Distributions (direct implementation)


 Usage:

     tfd =  rihaczek (signal [, time_res ] [, fft_length ] [, rih_levin ] 
             [ window_length ] [, window_type ] )

 Parameters:

    signal

      Input one dimensional signal to be analysed.    An analytic signal
      is required for this function, however, if signal is real, a
      default analytic transformer routine will be called from this
      function before computing spectrogram.


    fft_length

      Zero-padding at the fft stage of the analysis may be specified by
      giving an fft_length larger than normal.  If fft_length is not
      specified, or is smaller than the signal_length, then the
      next highest power of two above signal_length is used. If
      fft_length is not a power of two, the next highest power of two is
      used.

    time_res

      The number of time samples to skip between successive slices of
      the analysis.

    rih_levin

      Option to specify whether to return the Rihaczek distribution or the
         Levin distribution.
       
         0        Rihaczek (default)
         1        Levin

    window_length

         If this parameter is specified then the windowed distribution is used.
      window_length must be odd.    
         

    window_type

         One of  'rect', 'hann', 'hamm', 'bart' 

    tfd

      The computed time-frequency distribution. size(tfd) will
      return [a/2+1, b], where a is the next largest power of two above
      signal_length, and b is floor(length(signal)/time_res) - 1.



  See Also: <a href="analyt.html" class="code" title="">analyt</a></pre></div>

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